Evidence map›Paper›PMID 32469307›Full record

ArticleeLife2020

Universally high transcript error rates in bacteria.

Weiyi Li, Michael Lynch

Abstract read
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Translation accuracy in E. coli.Nucleic acids research · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Mutation bias and adaptation in bacteria.Microbiology (Reading, England) · 2023
    Review
  12. Article
  13. Innovation versus novelty in microbial systems.Environmental microbiology · 2023
    Article
  14. Phenotypic mutations contribute to protein diversity and shape protein evolution.Protein science : a publication of the Protein Society · 2022
    Review
  15. Pervasive sequence-level variation in the transcriptome ofNAR genomics and bioinformatics · 2022
    Article
  16. Article
  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Weiyi LiDepartment of Biology, Indiana University, Bloomington, United States.ORCID 0000-0002-1168-7093
Michael LynchDepartment of Biology, Indiana University, Bloomington, United States.ORCID 0000-0002-1653-0642

Funding

Causes and Population-genetic Consequences of Molecular VariationR35GM122566 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI Michael R LYNCH · 2017 to 2026
$7.7M
The Rate and Molecular Spectrum of Spontaneous MutationsR01GM036827 · NIGMS · UNIVERSITY OF OREGON · PI LYNCH, MICHAEL R · 1988 to 2016
$5.7M
Research Capacity Building in Post Ebola CountriesD71TW010411 · FIC · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GRANT, DONALD SAMUEL, MOON, D. TROY · 2016 to 2016
$50k
NIGMS NIH HHS R01 GM036827NIGMS NIH HHS R35 GM122566
6 · The paper itself

Abstract

Errors can occur at any level during the replication and transcription of genetic information. Genetic mutations derived mainly from replication errors have been extensively studied. However, fundamental details of transcript errors, such as their rate, molecular spectrum, and functional effects, remain largely unknown. To globally identify transcript errors, we applied an adapted rolling-circle sequencing approach to

Indexed as

Mutation RateBacteriaBacterial ProteinsDNA-Directed RNA PolymerasesMutationRNA, BacterialRNA, MessengerSequence Analysis, RNATranscription, GeneticBacterial ProteinsDNA-Directed RNA PolymerasesRNA, BacterialRNA, Messengerbase substitutionsB. subtilischromosomesE. coligene expressiongeneticsgenomicsRNA quality-controltranscript errorstranscriptional fidelity

Identifiers

PMID32469307
PMCPMC7259958

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.